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17 articles for “Pareto”
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An Application of PARETO Chart for Investigation of Defects in FNB Casting Process
Abstract: Casting is one of the widely used manufacturing processes consisting of melting and pouring the metal into the mould to get the desired shape. Furan no-bake system is a binder system consisting of furan resin and acid catalyst. It is a fast growing system due to its excellent surface finish and dimensional accuracy. Although having high dimensional accuracy, many defects arise in FNB casting such as sand inclusion, gas porosity, …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 33–39 Read article
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Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
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Continual Improvement of Manufacturing Process through Application of Quality Tools
Abstract: The requirement of global market is to produce highest grade quality products corresponding to world class standards. This can be achieved by providing services which are ecologically superior and economically viable. The efforts must be made to enhance the efficiency, minimizing waste and optimum use of resources. The Continuous Improvement is Quality concept to survive in this market. “7 QC Tools” is quality assurance tools which is used to improve …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 23–28 Read article
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Identifying Weightages Based on World Bank Data
Abstract: This paper states Conceptual hierarchy of World Bank data which represents the relationship between objects or concepts in a hierarchical form. The work presented here focuses on creating hierarchies which have relationship between parent and child nodes but not between siblings. A multi-level hierarchy (conceptual relationship knowledge) can be generated from a set of questionnaire survey of World Bank data by applying factor analysis and decision tree induction techniques. The …
Published in Journal of Production Research & Management · Vol. 5, Issue 2, 2015 · pp. 1–10 Read article
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Application of Nondominated Sorting Genetic Algorithm for Multiobjective Optimal Design of Distribution Transformer
Abstract: AbstractIn today’s competitive environment, transformer manufacturers are faced with the exigent task of yielding optimum performance at lowest cost. Considering the aspect of energy shortage and increase in its cost, the complexity of achieving the optimal balance between transformer manufacturing costs and transformer performance is a herculean task, demanding great amount of attempts to reach satisfactory results. To cater with the problem of minimizing transformer losses and cost simultaneously, this …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 44–57 Read article
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Multi-objective Reactive Power Planning based on MNSGA II
Abstract: Abstract This paper presents an application of modified NSGA-II (MNSGA-II) to reactive power planning (RPP) problem by minimizing the total cost (which consist of sum of annual energy cost and the installation cost of additional reactive power sources) and the load bus voltage deviations. Voltage stability index is considered as an additional constraint in order to include the system stability into account. Reference Pareto-front is generated using covariance matrix adopted. …
Published in Journal of Nuclear Engineering & Technology · Vol. 10, Issue 1, 2020 · pp. 37–45 Read article
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Generative Design of Bioactive Orthopedic Composites for Fracture Repair Using an Integrated Conditional GAN–Transformer Framework: A Multi-Objective Approach
Abstract: Orthopedic composite implants for fracture repair must simultaneously satisfy conflicting mechanical and biological demands: high fracture toughness, sufficient compressive stiffness, and bioactive surface chemistry enabling osteoblast adhesion and mineralization. Existing design approaches rely on trial-and-error experimentation, yielding sub-optimal trade-offs between these objectives. This paper presents an integrated conditional Generative Adversarial Network–Transformer (cGAN-T) framework for fully computational, multi-objective generative design of hydroxyapatite (HA)-reinforced polymer composite microstructures targeting Orthopedic fracture repair. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 21–35 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article
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A Sustainable and Green Prototyping Framework for Low-carbon and Resource-efficient Virtual Product Development
Abstract: The increasing emphasis on sustainable manufacturing has intensified the need for environmentally responsible design and development methodologies for polymer and polymer-composite materials, where material selection, processing routes, and waste generation play a critical role in overall environmental impact. This paper presents a Sustainable and Green Prototyping (SGP) framework that integrates Virtual Prototyping (VP), Life Cycle Assessment (LCA), and multi-objective optimization to systematically reduce carbon footprint, energy consumption, and material waste …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 459–471 Read article
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Optimization of Reaction Parameters for Biodiesel (Methyl Ester) Synthesis Using Surface Response Methodology
Abstract: The Polyoxo vanadate catalytic trans-esterification of waste cooking oil (WCO) was carried out by optimizing four reaction parameters which include: catalyst loading, methanol/oil ratio, temperature, and reaction time. These optimized parameters are 0.5 g, 0.8 g, and 1.2 g catalyst loading, 3:1, 6:1 and 9:1 methanol/oil ratio, 45°C, 60°C and 65°C reaction temperature, 45 min, 60 min and 90 min reaction time. The regression equation in the uncoded units of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 20–28 Read article
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Optimization of Production Processes to Minimize Waste and Improve Efficiency in Automobile Servicing Plant Using Lean Six Sigma
Abstract: This study focuses on optimizing production processes within an automobile servicing plant to minimize waste and enhance efficiency through the application of lean six sigma (LSS) methodologies. Utilizing a case study approach, the research addresses real-time challenges related to productivity and waste reduction. Data collection involves assessing machine functionality metrics, material and labor flow at various stages of the servicing process. The optimization strategy integrates lean tools including value stream …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 47–63 Read article
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Supply Chain Design Considering Social and Environmental Risks
Abstract: The aim of the research is to design a supply chain taking into account social and environmental risks. In this research, an attempt was made to present a model that, by considering variables close to the real world, simultaneously considers cost and sustainability issues for designing a meat supply chain network, including locating facilities, using technology in them, how products flow in the network, etc. In order to examine the …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 35–43 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Multi-objective Optimization Methods for Various Power System Problems
Abstract: This article discusses numerous features of multi-optimization approaches as applicable to challenges relating to the optimization of power systems, such as optimum power distribution network reconfiguration, optimal distributed generator placement and sizing (allocation), optimal D-STATCOM placement and sizing (allocation), simultaneous network reconfiguration and distributed generator allocation and simultaneous distributed generator and D-STACOM allocation, are discussed. The related objectives considered in these optimization problems are also discussed with respect to the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 35–39 Read article
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Extreme Value Analysis of Rainfall using L-Moments of Five Probability Distributions for Chandwa and Latehar Sites in Jharkhand
Abstract: Estimation of rainfall for a given return period is of utmost importance for planning, design and management of civil and hydraulic structures. This can be achieved by conducting Extreme Value Analysis (EVA) of rainfall that consists of fitting probability distributions (PDs) to the annual maximum series of rainfall. In this paper, a study on intercomparison of L-Moments (LMO) of five PDs viz., Extreme Value Type-1 (EV1), Extreme Value Type-2, Generalized …
Published in Journal of Water Resource Engineering and Management · Vol. 9, Issue 1, 2022 · pp. 42–50 Read article
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Effect of Nose Radius and Tool Shape on Diameter Error, Circularity and Surface Roughness in Dry Turning Machine
Abstract: The objective of this paper is to investigate the effect of nose radius and tool shape on diameter error, circularity and surface roughness of turned parts during dry machining operation. The paper presents both analytical and experimental results of nose radius, tool shape and surface roughness of a turned material (alloy steel AISI-4340) in three different levels of control parameters that have been affected by nine cutting tool shapes of …
Published in Trends in Machine design · Vol. 6, Issue 1, 2019 · pp. 29–37 Read article